Craft of Political Research, The9th Edition
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Updated in its 9th edition, The Craft of Political Research immerses readers not only in how political scientists work but also in how ideas produce research questions and guide the selection of research methods. Emphasizing the internal logic of research methods and the collaborative nature of the research process, this slender text explores the design behind interesting questions, problems in measurement and analysis, and key statistical methods. The Craft of Political Research’s elegant explanations inspire a big picture understanding of how political scientists explain political reality and encourage students to create their own inventive, original, and bold research work.
Chapter 1. Doing Research
Chapter 2. Political Theories and Research Topics
Chapter 3. Importance of Dimensional Thinking
Chapter 4. Problems of Measurement: Accuracy
Chapter 5. Problems of Measurement: Precision
Chapter 6. Causal Thinking and Design of Research
Chapter 7. Selection of Observations for Study
Chapter 8. Introduction to Statistics: Measuring Relationships for Interval Data
Chapter 9. Introduction to Statistics: Further Topics on Measurement of Relationships
Chapter 10. Introduction to Statistics: Inference, or How to Gamble on Your Research
- Focuses on the big picture of how good research leads to good theories instead of just what research method to use. (ex. Ch. 1)
- Provides concise and accessible coverage of key topics, including the nature of research, research design, sampling, statistical analysis, ethics, and more. (ex. p. 77)
- Includes detailed examples of classic and contemporary political science research to give students models for their own original research.
W. Phillips Shively is Professor of Political Science at the University of Minnesota.
“The Craft of Political Research is just what one hopes for in an undergraduate methods course. It is more theoretically engaged than most such texts, and the conceptual discussion is non-sectarian. Marx and Duverger make an appearance; so do Mancur Olson and Anthony Downs; so do Philip Converse and Robert Putnam. Students will learn that ideas matter, not the statistical software; and they will see that theoretical narrowness is the antithesis of good science.”–from Christopher H. Achen’s Foreword
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